All managed servicesMANAGED SERVICES / GENELLIPSE

Managed Application, Data & AI Services

Keep the whole workflow working.

Connect application support, data reliability, and governed AI operations around the business service your teams depend on.

Bring the critical dependencies, the operating authority and the evidence into one service conversation.

THE OPERATING MODEL

Conceptual service map
BUSINESS OUTCOMEAccepted outcome
Application journeyObserve
Trusted dataOperate
Governed AIVerify
SignalsDecisionsControlled action
One accountable service review

Named owners · accepted evidence · improvement backlog

Business service ownershipHuman authority over automationEvidence before closureContinuous improvement

01 / THE BUSINESS CONTEXT

The responsibility extends beyond keeping systems online.

A successful release is the beginning of an operating responsibility. A report can be technically available but based on stale data; an agent can execute correctly against the wrong source; a repaired application can still leave a queue of unfinished work. Our managed approach follows the complete business journey and makes each handoff, exception, and operating decision visible.

01

Application reliability

Maintain an agreed application inventory, monitor user journeys and dependencies, investigate defects, and coordinate fixes with development and vendors. Validate completed business work after restoration rather than closing an incident when a process merely restarts.

02

Data product operations

Monitor ingestion, transformation, quality, lineage, and freshness. Reconcile control totals, quarantine broken contracts, and manage late corrections with the data owner. Include databases and analytical workloads in the agreed operating boundary.

03

AI and agent operations

Manage the approved model, prompt, knowledge, and tool configurations. Track failed tasks, human interventions, cost, and material changes. Re-evaluate affected workflows before expanding access or promoting a new configuration.

04

Release and problem management

Coordinate change windows, regression evidence, rollback decisions, and recurring-defect analysis. Separate emergency restoration from the permanent engineering change needed to prevent recurrence.

02 / INSIDE THE OPERATING RESPONSE

From an exception to an accepted outcome.

A reporting pipeline completes, but a late correction makes the AI-generated management commentary inconsistent with the accepted figures. The incident spans data, application, and AI owners.

Illustrative runbook. Select each stage to follow the action and the evidence.

CONTROLLED ACTION

Detect the business discrepancy

Compare freshness and control totals with the report’s stated basis; suspend distribution of the affected output.

Evidence before moving on

Impacted reports, source snapshot, and discrepancy record.

The runbook defines who can authorize the action, how to reverse it and when to escalate.

03 / MAKE ACCOUNTABILITY EXPLICIT

Clear boundaries. Connected responsibility.

An operating model needs both a delivery owner and a decision owner. We document the boundary before accepting responsibility and revisit it when the service changes.

Genellipse operates

Genellipse operates the agreed applications, pipelines, AI workflow controls, monitoring, incident coordination, and improvement backlog. We maintain the runbooks and evidence for the accepted scope.

Your organization retains authority

Your owners approve data definitions, business conclusions, material changes, and the level of automation. Third-party providers retain their contracted infrastructure or product responsibilities.

What you receive

  • Application and data service inventory
  • Versioned operating runbooks and escalation paths
  • Release, evaluation, and incident evidence
  • Monthly service health and improvement review

What we measure together

Workflow completion
Accepted completed cases / eligible cases; include failed and manually recovered work.
Data reliability
On-time accepted refreshes, reconciliation failures, and unresolved quality exceptions.
AI operating quality
Material errors, interventions, tool failures, and cost per accepted task.

PLATFORM FIT, VERIFIED IN YOUR ENVIRONMENT

Connect the operating model to the right technology.

GeneData can support the managed data foundation, Cortex AI the agent operating boundary, and GeneAnalytics the business measures. AegisNow and other domain platforms can be included after service acceptance. Existing customer platforms remain part of the design.

SOLUTION PACKAGES / FOUR STARTING POINTS

An engagement shaped around the responsibility.

Select a service package, then refine the scope around your estate, business hours, risk and internal capability. Each package creates an operating agreement and an acceptance decision.

For a defined application, platform, or business workflow that needs clear operational ownership.

Service Assurance

Operating scope

  • Service inventory and acceptance baseline
  • Monitoring, incident coordination, and runbooks
  • Agreed maintenance and change handling
  • Monthly service review and improvement priorities

What you receive

A named service owner, accepted scope, tested escalation route, and reviewable operating evidence.

Acceptance gate

No critical service enters support without access, dependency ownership, and an executable recovery route.

Agree before starting

Coverage hours, response targets, supported components, and third-party responsibilities are agreed in the service schedule.

Discuss this package

Packages are scoping structures, not fixed-price bundles or universal service-level commitments. Coverage, tooling, licenses and responsibilities are confirmed in the agreement.

SERVICE ECONOMICS / RELIABILITY WITH A BASIS

Measure accepted work, not activity alone.

A service-level objective starts with a defined business journey and an observation window. Explore this illustrative monthly completion budget, then connect it to service quality, cost and operational decisions.

ILLUSTRATIVE MONTHLY INPUTS

Use a consistent denominator. The calculation caps failures at eligible journeys. A customer retry must not inflate the accepted business outcome count.

ACCEPTED COMPLETION

99.55%

The failure budget has not been exceeded.

Failure allowance
50
Recorded failures
45
Budget consumed
90.0%

Bar shows the proportion of the failure allowance consumed, capped visually at 100%. For a 100% objective, any failure exceeds the zero allowance. These are example inputs, not customer results or a proposed SLA.

Quality

Accepted outcomes and escaped defects

Track technical success separately from the business owner’s acceptance. Break down failures by cause and dependency.

Cost

Cost per accepted business outcome

Include platform consumption, tools, support, human review and exception handling. Avoid using transaction volume alone to imply value.

Recovery

Restore, reconcile and validate

Measure service restoration and completion of the affected backlog separately. Report recovery-test evidence and unresolved dependencies.

Our reference approach draws on Google’s guidance on implementing service-level objectives and the FinOps Framework. Targets and cost boundaries are agreed for your service.

TRANSITION / EARN THE RIGHT TO OPERATE

A handover is a demonstrated capability.

Target a transition MVP within six weeks for one bounded service. Confirm readiness first; accept operational ownership only after the team can observe, support and recover the agreed scope.

  1. Weeks 1–2

    Define and baseline

    Map the business journey, dependencies, inventory and owners. Agree support hours, control requirements, targets and the initial cost baseline.

    Gate: signed boundary and access readiness.
  2. Weeks 3–4

    Shadow and rehearse

    Observe existing operations, build runbooks, validate alerts and rehearse incidents. Test permissions, escalation and recovery against representative scenarios.

    Gate: runbooks and recovery evidence accepted.
  3. Weeks 5–6

    Reverse-shadow and accept

    Genellipse operates the bounded service while the incumbent team observes. Resolve material gaps, confirm reporting and agree the first improvement backlog.

    Gate: service owner accepts operational responsibility.

Readiness can change the schedule. Estate-wide transitions, unresolved security gaps, unsupported platforms and major remediation need separate scope. Full takeover follows acceptance evidence rather than the calendar alone.

CONTINUOUS IMPROVEMENT / KEEP THE REVIEW USEFUL

Run today’s service. Improve tomorrow’s operating cost.

A useful review cadence connects immediate issues to investment decisions. The precise rhythm and participants are agreed for the service; the purpose is to resolve ownership, prevent recurrence and verify value.

01

Daily operating view

What needs intervention?

Watch service signals, queues, exceptions, security exposures and critical jobs. Escalate business impact with a named owner and next update.

02

Weekly problem review

What should stop happening?

Prioritize repeated incidents, fragile changes and manual work. Give each improvement a hypothesis, owner, acceptance measure and delivery decision.

03

Monthly service review

Is the service delivering?

Review objectives, cost, backlog, supplier performance and control evidence. Distinguish accepted improvement from incomplete remediation.

04

Quarterly direction

What should change next?

Revisit scope, recovery priorities, automation authority and the roadmap. Confirm the business case before expanding the managed footprint.

AI IN THE OPERATING MODEL

Automate the routine. Make authority explicit.

Cortex AI can support approved agent workflows and tool access; GeneData can support the governed data foundation. GeneSecure and GeneComply can connect security and control evidence where verified product capabilities fit the service. Product selection follows the operating requirement.

  1. Observe and prepareCollect approved evidence, correlate events and draft a recommendation.
  2. Check policy and authorityValidate identity, scope, source freshness and the human approval required for the action.
  3. Execute and verifyUse bounded permissions; retain the decision and result, reconcile the outcome and stop safely on an exception.

COMMON QUESTIONS

Details that help
you decide.

Explore the scope, practical considerations, and a useful starting point for your team.

What is included in a managed-service agreement?

We define the service boundary, inventory, business hours and coverage, severity model, response and restoration targets, maintenance windows, access permissions, supplier interfaces and reporting cadence. The agreement separates recurring operations from change projects, licenses and third-party consumption. It also names the client owner who can accept risk and authorize material changes.

Do you provide round-the-clock support and fixed SLAs?

Coverage and service-level commitments are scoped and agreed for the contracted service. They are not assumed across every offering. Acknowledgement, investigation, restoration and permanent resolution are different milestones. Dependencies and third-party commitments must support the targets before they become contractual obligations.

How much authority does an AI agent have in operations?

AI can help correlate evidence, draft incident summaries and recommend actions. Changes to production, payments, access or sensitive data require explicitly delegated authority, bounded tool permissions and auditable decisions. High-impact actions retain the agreed human approval gate; rollback and safe-stop procedures are tested before automation is enabled.

Can you operate our existing technology and suppliers?

Yes, subject to access, supportability and the agreed scope. We map responsibilities across your team, Genellipse and vendors. Existing tools can remain where they meet the need; adopting a Genellipse product is not a condition of the operating model. Unsupported systems and visibility gaps are documented rather than hidden.

Can the first transition be completed within six weeks?

A bounded transition MVP can target six weeks: one business service, its critical dependencies and a tested support handover. Readiness, access and owner availability determine the scope. Full estate transitions, major remediation, regulatory approval and complex migrations require their own plan and acceptance gates.

How do you prevent lock-in and make an exit workable?

Agree ownership and export formats for runbooks, inventories, configurations, service records and evidence at the start. Keep client access to operational knowledge, document supplier dependencies and define an exit assistance scope. Transfer is verified through a successor’s ability to operate and recover the service, not only the delivery of files.

How is value measured without overstating savings?

Baseline the same service scope before and after transition. Separate supplier charges, cloud consumption, engineering improvements and transition cost. Validate removable expenditure with finance. Faster resolution and less manual work can release capacity, but that is not automatically a cash saving; service quality and risk exposure need their own measures.

BEGIN WITH ONE BUSINESS SERVICE

What must keep working
for your business to move forward?

Bring the critical workflow, the pain points and the boundaries. We will help define a managed service with clear ownership, practical measures and a transition your team can accept.

Shape your managed service